An AI- based System for Bird and Drone Detection using YOLOv4/v5 Object Detection Models

+91-7667918914 iarjset@gmail.com 0 Items International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal ISSN Online 2393-8021 ISSN Print 2394-1588 Since 2014 Home About About IARJSET Aims and Scope Editorial Board Editorial Policies Publication Ethics Publication Policies Indexing and Abstracting Citation Index License Information Authors How can I publish my paper? Instructions to Authors Benefits to Authors Why Publish in IARJSET Call for Papers Check my Paper status Publication Fee Details Publication Fee Mode FAQs Author Testimonials Reviewers Topics Peer Review Current Issue & Archives Indexing FAQ’s Contact Select Page An AI- based System for Bird and Drone Detection using YOLOv4/v5 Object Detection Models Suhana Noorain, Prof. Hemanth Kumar B N Abstract- For this project, we recommend using the YOLOv4 and YOLOv5 models to create a system that can accurately detect and classify drones and birds. The use of drones is increasingly threatening to bird populations, and it is crucial to develop a solution that can identify them. To do this, we will train the YOLOv4 and YOLOv5 models on the training set, using transfer learning. After that, we will assess their performance on the validation set and test their accuracy on a separate test set. Finally, we will compare the performance of the two models and select the best one for bird and drone detection. Downloads: | DOI: 10.17148/IARJSET.2023.10839 How to Cite: [1] Suhana Noorain, Prof. Hemanth Kumar B N, "An AI- based System for Bird and Drone Detection using YOLOv4/v5 Object Detection Models," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2023.10839 Copy Citation Call for Papers Rapid Publication 24/7 April 2026 Submission: eMail paper now Notification: Immediate Publication: Immediately with eCertificates Frequency: Monthly Downloads Paper Format Copyright Form   Submit to iarjset@gmail.com or editor@iarjset.com   Submit My Paper Author CenterHow can I publish my paper? Publication Fee Why Publish in IARJSET Benefits to Authors Guidelines to Authors FAQs (Frequently Asked Questions) Author Testimonials IARJSET ManagementAims and Scope Call for Papers Editorial Board DOI and Crossref Publication Ethics Editorial Policies Publication Policies Subscription / Librarian Conference Special Issue Info ArchivesCurrent Issue & Archives Conference Special Issue Copyright © 2026 IARJSET This work is licensed under a Creative Commons Attribution 4.0 International License. Open chat